Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China

Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

(2020) Min Yan Chia et al.   Agronomy-Basel

Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

(2020) Yi Zhou et al.   ENERGY

Estimation of summer maize evapotranspiration using MARS model in the semi-arid region of northwest China

(2020) Xiaoqin Shan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

(2020) Bin Zhu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Supplanting missing climatic inputs in classical and random forest models for estimating reference evapotranspiration in humid coastal areas of Iran

(2020) Sepideh Karimi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Uncertainty analysis of artificial intelligence modeling daily reference evapotranspiration in the northwest end of China

(2020) Haijiao Yu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Water use efficiency and its drivers in four typical agroecosystems based on flux tower measurements

(2020) Shouzheng Jiang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

(2020) Min Yan Chia et al.   AGRICULTURAL WATER MANAGEMENT

A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation

(2020) Lifeng Wu et al.   AGRICULTURAL WATER MANAGEMENT

Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China

(2019) Shouzheng Jiang et al.   AGRICULTURAL WATER MANAGEMENT

Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China

(2019) Junliang Fan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

(2019) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Empirical and learning machine approaches to estimating reference evapotranspiration based on temperature data

(2019) Matheus Mendes Reis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation

(2019) Yu Feng et al.   ENERGY CONVERSION AND MANAGEMENT

Machine learning models to quantify and map daily global solar radiation and photovoltaic power

(2019) Yu Feng et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands

(2018) Dahua Tang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improvement of Makkink model for reference evapotranspiration estimation using temperature data in Northwest China

(2018) Qingwen Zhang et al.   JOURNAL OF HYDROLOGY

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of soil temperature from meteorological data using different machine learning models

(2018) Yu Feng et al.   GEODERMA

Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum

(2016) Josilva M. Muniandy et al.   AGRICULTURAL WATER MANAGEMENT

Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts

(2015) Yufeng Luo et al.   WATER RESOURCES MANAGEMENT

An improved cuckoo search based extreme learning machine for medical data classification

(2015) P. Mohapatra et al.   Swarm and Evolutionary Computation

Data mining with various optimization methods

(2014) Vladimir Nedic et al.   EXPERT SYSTEMS WITH APPLICATIONS

Estimating Penman–Monteith Reference Evapotranspiration Using Artificial Neural Networks and Genetic Algorithm: A Case Study

(2012) Seyed Saeid Eslamian et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Comparative analysis of 31 reference evapotranspiration methods under humid conditions

(2011) Hossein Tabari et al.   IRRIGATION SCIENCE

Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design

(2007) Sidhartha Panda et al.   APPLIED SOFT COMPUTING